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Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt before work begins. Also use when user explicitly asks to optimize/refine/improve a prompt.

v1.0.0

Use when user input is vague, underspecified, lacks boundaries or acceptance criteria, or would benefit from being reframed into a more executable prompt bef...

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byTaiChangXieBuWan@lq434239
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
✓
Purpose & Capability
The name/description match the runtime instructions: refine vague prompts, offer confirmation, and optionally emit a compact preference signal. The skill does not request unrelated environment variables, binaries, or install steps — nothing appears excessive for a prompt-refiner.
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Instruction Scope
SKILL.md confines actions to extracting the user's original prompt and session context, producing a refined prompt, asking the user to confirm, and emitting a short learning signal for a separate session-learner. This is appropriate for the purpose, but it relies on platform integrations (AskUserQuestion popup and session-learner) that are not declared in the metadata. The instructions explicitly forbid recording full prompt text, which is good practice; verify that implementations follow that rule.
✓
Install Mechanism
No install spec and no code files — instruction-only skills have the lowest install risk because nothing is downloaded or written to disk.
✓
Credentials
The skill declares no required environment variables, credentials, or config paths. No hidden requests for secrets are present in the instructions or reference material.
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Persistence & Privilege
always:false and normal autonomous invocation are appropriate. The only persistence hint is the interaction with a session-learner that accumulates preference patterns; this raises privacy/retention considerations (see guidance) but does not itself indicate privilege escalation or incoherence.
Assessment
This skill appears coherent and low-risk, but check three implementation details before installing: (1) Confirm the session-learner implementation truly stores only compact preference signals (e.g., "prefers popup"), never full prompt contents or originals. (2) Verify the AskUserQuestion popup and any UI flow do not send refined/original prompts to third-party endpoints or logs accessible by others. (3) Decide whether you want autonomous invocations allowed for this skill (default is allowed); if you prefer manual control, disable autonomous use or require explicit confirmation. If these items are satisfied, the skill is appropriate for refining user prompts.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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